U.S. Panu

1.6k citations
60 papers · 1.3k · h-index 18

Impact in

Papers in

U.S. Panu

55 papers receiving 1.2k citations

Peers

U.S. Panu
Comparison fields: 5 of 83
  • Water Science and Technology 616
  • Global and Planetary Change 823
  • Environmental Engineering 514
  • Atmospheric Science 137
  • Soil Science 59
Replace S. Adarsh with:
S. Adarsh India
S. Y. Liong Singapore
Guangyuan Kan China
Maheswaran Rathinasamy India
N. T. Kottegoda United Kingdom
Mauro Fiorentino Italy
Geoff Pegram South Africa
Rakesh Khosa India
Jiufu Liu China
Farshad Ahmadi Iran
U.S. Panu relative to S. Adarsh India S. Adarsh's profile →
Citations per field
00.5×1.5×2.2×
S. Adarsh · 1×
Citations per year

Countries citing papers authored by U.S. Panu

Since Specialization
Citations

This map shows the geographic impact of U.S. Panu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by U.S. Panu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U.S. Panu more than expected).

Fields of papers citing papers by U.S. Panu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U.S. Panu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by U.S. Panu. The network helps show where U.S. Panu may publish in the future.

Co-authors

The 17 scholars most cited alongside U.S. Panu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with U.S. Panu Line = papers co-authored together U.S. Panu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002225
2 2002148
3 200097
4 200274
5 200171
6 199765
7 200760
8 200060
9 201050
10 201242
11 200930
12 201429
13 197828
14 200827
15 200126
16 201424
17 200819
18 198019
19 200017
20 200416

About U.S. Panu

U.S. Panu is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Civil and Structural Engineering and Ocean Engineering, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (33 papers), Hydrology and Watershed Management Studies (31 papers), Hydrological Forecasting Using AI (17 papers), Climate variability and models (12 papers), Water resources management and optimization (7 papers), Neural Networks and Applications (5 papers), Water Systems and Optimization (4 papers) and Hydraulic flow and structures (4 papers). The work is most often cited by research in Water Science and Technology (616 citations), Global and Planetary Change (823 citations), Environmental Engineering (514 citations), Atmospheric Science (137 citations) and Soil Science (59 citations). U.S. Panu has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include T.C. Sharma, Amin Elshorbagy, Slobodan P. Simonović, William C. Lennox, T. E. Unny, Vinay Kumar, Tarek M. Khalil, Rammohan K. Ragade, J. M. Saxton and Andrew K. C. Wong. Their work appears in journals such as Hydrological Sciences Journal, Journal of Hydrology, Journal of Hydrologic Engineering, JAWRA Journal of the American Water Resources Association and Canadian Water Resources Journal / Revue canadienne des ressources hydriques.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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